{"id":"W2903515102","doi":"10.1063/1.5061726","title":"Surface compressive and softening effect on deformation mode transition in Ni-Nb metallic glassy thin films: A molecular dynamics study","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Metallic Glasses and Amorphous Alloys","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Softening; Materials science; Deformation (meteorology); Composite material; Thin film; Modulus; Molecular dynamics; Transition metal; Ultimate tensile strength; Glass transition; Elastic modulus; Condensed matter physics; Nanotechnology; Chemistry; Computational chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005527767,0.0002024112,0.0001633207,0.0001672925,0.0002836945,0.0001592733,0.0002522978,0.0001908732,0.001495353],"category_scores_gemma":[0.0001309411,0.0001307282,0.0002416875,0.0001472802,0.0002473024,0.0002945364,0.0001281843,0.0003039374,0.00006951594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003481738,"about_ca_system_score_gemma":0.000187452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006069554,"about_ca_topic_score_gemma":0.004544599,"domain_scores_codex":[0.9999801,0.000001638581,9.077782e-7,0.000004592824,0.000005804793,0.000006915131],"domain_scores_gemma":[0.9999673,0.00001078753,0.000008357664,0.000002954754,0.000005090126,0.000005453279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004315854,0.0002968584,0.01193275,0.0004937274,0.0001697592,0.0008559176,0.0006642964,0.1105525,0.855737,0.007189398,0.0008400081,0.01083613],"study_design_scores_gemma":[0.00007071532,0.0002853365,0.02793766,0.00003302072,0.00007013523,0.00008930119,0.0002285598,0.8662612,0.102637,0.0008153932,0.001524231,0.00004727735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998356,0.0001537149,0.0005587748,0.00006554237,0.000004759665,0.000005171739,0.00007597756,0.00002162451,0.0007585142],"genre_scores_gemma":[0.99889,0.0002164182,0.0005465118,0.00001275938,0.00000223639,0.000008529754,0.00008561428,0.000007643266,0.0002303136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006069554,"threshold_uncertainty_score":0.01206845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006029426655668793,"score_gpt":0.2205039408864284,"score_spread":0.2144745142307596,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}